Weekday (YC W21)
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
Senior Developer
Job not on LinkedIn
November 25
Weekday (YC W21)
Human Resources • SaaS • Recruitment
Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.
📋 Description
• Lead development of core backend systems, APIs, and performance-critical components • Own technical architecture and contribute to the evolution of the platform's technology roadmap • Build and deploy ML models at scale, ensuring efficient and reliable inference workflows • Make critical architectural decisions around scalability, performance, infrastructure, and security • Mentor and guide a small engineering team; promote best practices across coding, testing, and DevOps • Manage infrastructure and DevOps workflows (AWS, Docker, CI/CD, GPUs for ML, GitHub workflows) • Collaborate closely with product, sales, and customer teams to deliver high-value features • Drive automation, process improvements, and technical excellence across the engineering org
🎯 Requirements
• 8+ years of hands-on software engineering experience, ideally with SaaS products • Expert-level proficiency in Python, distributed systems, and cloud-native architecture • Strong experience with databases, caching layers, messaging queues, and search technologies • Comfortable working with AWS, containerized environments (Docker/Kubernetes), and CI/CD pipelines • Background in ML pipelines or GPU-based inference environments • Experience with large-scale image/video processing is an added advantage
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